ggplot2 fundamentals

Become a ggplot2 expert from scratch and learn to create data visualization in ggplot2.

What you'll learn
Explain what aesthetic mappings are
Explain the inheritance of aesthetic mappings
Create any plot in ggplot2 on your own
Solve common problems in creating plots in ggplot2
Dodge bar charts and be able to explain how it can be done
Explain the aesthetics of geom_point
Order bar charts
Use scales to adjust the mapping between aesthetics and variables
Use facets to create multiple plots at once
Use summary statistics to do calculations on your data on they fly with ggplot2 (e.g. error bars, means, confidence intervals)
Make your plot look beautiful with custom themes
Use annotations to spice up your plots
Add mathematical notations to your plot
Combine multiple plots with patchwork
Adding significance bars to barplots
Adding regression lines to scatterplots
Export plots to high quality
Use various apps from ggplot2tor to work with scales, theme and aesthetics in ggplot2

Description
My goal with this course is for you to learn ggplot2 from the ground up. ggplot2 has a huge community and endless resources, but here's why I think this course might be for you

Creating data visualizations in ggplot2 is tough for beginners. You need to know about data types, geometric objects, aesthetics, aesthetic mappings, dozens of functions, faceting, scales, themes and much more. You'll find many resources on the internet that teach you this content. Finding these resources takes time, and often they don't teach the fundamentals you need to know to become an independent data visualization specialist in ggplot2. I want to get you up to speed with ggplot2. While creating this course I not only created the videos, but also a comprehensive package of educational materials. Here is what you will get from this course

More than 11 hours of videos

8 brand-new cheat sheets on the most fundamental concepts of ggplot2 which you won't find anywhere else on the internet

3 educational web apps on three of the most fundamentals problems: findings aesthetics of geometric objects, finding scales, and designing your theme

A repository with all the R-code for the course

In this course we will start with the most important concept of ggplot2, aesthetic mappings. We will then learn how to create the most basic plots. Once you are able to create these plots, we will discuss common pitfalls that beginners to ggplot2 often run into. In the next modules, we will learn how to customize aesthetic mappings with scales, how to create multiple plots by faceting, how to calculate summary statistics, and how to change the theme of your plots. Finally, we will give you some tips and tricks that everyone learning ggplot2 should know. Along the way, we will also create four best practice visualizations that cover all of the fundamental concepts we learn in this course.

I am confident that you won't find similar material anywhere else on the internet and that you will truly understand ggplot2 from the ground up if you take this course.

Disclaimer: We will cover version 3.3.4 of ggplot2.

Who this course is for
Any person who wants to learn ggplot2 from the ground up
Data scientist interested in learning how to create visualizations in ggplot2 fast and effectively
Data journalists who want to create print-ready visualizations
Students interested in creating visualizations for their theses
Scientists and researchers whose daily bread is to plot data